Evidence map›Paper›PMID 42897545›Full record

ArticleJournal of translational medicine2026

VHH-based antigen recognition programs Claudin18.2 CAR-T cells for durable activity in low-antigen solid tumors.

Dan He, Xiaoyuan Hu, Jiyin Guo, Jiaxing Cheng, Weike Li, Sidi Wan, Yunshan Ye, Lei Zhu, Li Li, Ke Li and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Dan He *Cancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Xiaoyuan Hu *Cancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Jiyin GuoCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Jiaxing ChengCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Weike LiCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Sidi WanCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Yunshan YeCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Lei ZhuCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Li LiCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Ke LiCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Chunlei GeCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China.
Tao LiCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China. litaove@163.com.
Hong YaoCancer Biotherapy Center & Cancer Research Institute, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, 650106, China. yaohong20055@hotmail.com.

Funding

he National Natural Science Foundation of China 32360046, 82350117, 82260462Innovative Research Group Project of the National Natural Science Foundation of China 82360562Major Science and Technology Special Program of Yunnan Provincial Department of Science and Technology 202302AA310043Shandong Provincial Talents Team Cultivation Plan of University Preponderant Discipline 2024XKTDYS07, Subproject: LCPDTT202417The "High-Level Talent and Innovation Team Selection Program 202405AS350015The Innovation Fund Project for Graduate Education of Kunming Medical University 2025S269The National Natural Science Foundation of China 82060426The National Natural Science Foundation of China 82272980the Yunnan Provincial Department of Education Science Research Fund Project 2023Y0655unnan Fundamental Research Projects 202301AT070129Yunnan Province Science and Technology Department-Kunming Medical University Joint Special Fund 202401AY070001-360, 202201AY070001-144Yunnan Provincial Department of Science and Technology Key Research and Development Plan for Social Development Special Projects 202403AC100022Yunnan Provincial Medical Discipline Reserve Talents Support Program No. H-2024088Yunnan University Service key industry science and technology project FWCY-BSPY2024076
6 · The paper itself

Abstract

backgroundClaudin18.2 is a clinically validated target for gastric and gastroesophageal junction adenocarcinoma. However, the antigen heterogeneity, low surface density, and issues related to scFv-associated conformational instability and tonic signaling may limit the durability and therapeutic window of Claudin18.2-directed CAR-T cell therapy. Therefore, improving the design of CAR-T cells targeting Claudin18.2 could enhance their effectiveness in treating these cancers.

methodsWe generated third-generation Claudin18.2 CAR-T cells using either a humanized camelid single-domain antibody (VHH) or a conventional scFv as the antigen-recognition module, maintaining an identical CAR backbone for both constructs. To evaluate their performance, we used a gastric cancer cell-line panel with graded Claudin18.2 expression and corresponding xenograft models. We assessed CAR-T cell activity by measuring antigen-dependent cytotoxicity, cytokine secretion (IFN-γ and TNF-α), and reactivity toward antigen-negative targets. In vivo, we examined tumor control, T-cell infiltration, and CD8⁺ T-cell enrichment, and assessed toxicity. Additionally, we investigated the stability of CAR expression, T-cell expansion, and exhaustion-associated phenotypes. Structural modeling and molecular dynamics simulations were performed to evaluate the stability of the binding interface of the VHH-Claudin18.2 complex relative to the scFv-Claudin18.2 complex.

resultsVHH-based CAR-T cells exhibited superior antigen-dependent activity compared to scFv-based CAR-T cells. VHH-CAR-T cells maintained higher cytotoxicity and IFN-γ and TNF-α secretion even under low antigen density and displayed minimal reactivity against antigen-negative targets. In vivo, VHH-CAR-T cells achieved faster and more durable tumor control, with enhanced intratumoral T-cell infiltration and CD8⁺ T-cell enrichment, without any overt toxicity. Mechanistically, the use of a VHH recognition domain was associated with better preserved surface CAR expression after antigen engagement, expanded more robustly, displayed fewer exhaustion-associated phenotypes, had a higher proportion of central memory T cells, and showed transcriptional enrichment of proliferative and effector programs with restrained exhaustion signatures. Structural modeling and molecular dynamics simulations further confirmed that the VHH-Claudin18.2 binding interface was more stable than that of scFv-Claudin18.2.

conclusionReplacing scFv with VHH is associated with enhanced functional performance, persistence, and therapeutic efficacy of Claudin18.2-directed CAR-T. These findings support the further development and translation of VHH-based CAR-T strategies for solid tumor treatment.

Indexed as

Antigens, NeoplasmClaudinsImmunotherapy, AdoptiveNeoplasmsReceptors, Chimeric AntigenT-LymphocytesAnimalsCell Line, TumorHumansMiceXenograft Model Antitumor AssaysAntigens, NeoplasmClaudinsCLDN18 protein, humanReceptors, Chimeric AntigenCAR-TClaudin18.2Gastric cancerNanobodyscFvVHH

Identifiers

PMID42897545
PMCPMC13681878

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.